CN111833131A - An order processing method, device, electronic device and storage medium - Google Patents

Abstract

The present application provides an order processing method, device, electronic device and storage medium. The method includes: determining maximum resource increment information in the first sub-period based on pending orders in the first sub-period; first The sub time period is the time period from the start time point in the current time period to the critical time point that matches the start time point; for any time point in the second sub time period, based on the time point to the start time point to determine the resource increment information at this time point; the second sub-time period is the time period from the time point after the critical time point to the time point before the end time point in the current time period; according to the maximum resource increase The amount information and the resource increment information at each time point in the second sub-time period are monitored, and the order distribution time point in the second sub-time period is monitored, and the order distribution process is performed at the monitored order distribution time point. In this way, more matching pending orders can be divided into orders, which improves the resource increment information of the platform.

Description

An order processing method, device, electronic device and storage medium

technical field

The present application relates to the technical field of data processing, and in particular, to an order processing method, apparatus, electronic device and storage medium.

Background technique

With the rapid development of the Internet, more and more Internet products are used by people, such as online car-hailing platforms. The online car-hailing platform can provide passengers with a variety of travel services, including: express trains, special cars, taxis, bicycles, carpooling, etc.

For carpooling services, the prior art provides the following method for splitting carpooling orders: the platform pre-determines the order splitting interval, and for any area, the platform performs a splitting process on the carpooling order from that region at the above-mentioned splitting interval. . However, with the above-mentioned order distribution method, the platform's order distribution efficiency is low.

SUMMARY OF THE INVENTION

In view of this, the purpose of this application is to provide an order processing method, device, electronic device and storage medium, which can perform order division processing for more matching pending orders and improve the order division efficiency of the platform.

In a first aspect, an embodiment of the present application provides an order processing method, including:

Based on the pending orders sent by the service requester in the first sub-time period of the current time period, determine the maximum resource increment information in the first sub-time period; wherein, the first sub-time period is the current time period The time period from the starting time point to the critical time point matching the starting time point, and the first sub-time period is configured to stop order splitting;

For any time point in the second sub-time period of the current time period, based on the pending order sent by the service requester from the time point to the starting time point, determine the resource increment information at the time point; wherein, The second sub-time period is the time period from the time point after the critical time point to the time point before the end time point in the current time period;

According to the maximum resource increment information and the resource increment information at each time point in the second sub-time period, monitoring the time points of the order distribution in the second sub-time period;

When monitoring the time point of order splitting within the second sub-time period, perform split order matching processing on the corresponding pending order at the order split time point, and send the obtained order split matching result to the corresponding service request end.

In conjunction with the first aspect, the embodiment of the present application provides a first possible implementation of the first aspect, wherein, when monitoring the time point of order splitting within the second sub-time period, the method further includes:

Select the monitored order distribution time point as the new starting time point, return to execute the pending order sent by the service requester in the first sub-time based on the current time period, and determine the order within the first sub-time. The step of maximum resource increment information until the monitoring result of the last time point in the second sub-time period is obtained.

In conjunction with the first aspect, the embodiment of the present application provides a second possible implementation manner of the first aspect, wherein, after sending the obtained order split matching result to the corresponding service requester, the method further includes:

Acquire the pending orders within the previous order split time point from the end time point to the end time point;

At the end time point, the obtained order to be processed is subjected to order split matching processing, and the obtained order split matching result is sent to the corresponding service requester.

With reference to the first aspect or the first possible implementation manner of the first aspect, the embodiment of the present application provides a third possible implementation manner of the first aspect, wherein, for any starting time point, the following method is used to determine whether to match the Critical time points for starting time points:

Based on the end time point in the current time period, the start time point and the preset threshold, determine the time length corresponding to the critical time point matching the start time point;

Based on the starting time point and the time length, a critical time point matching the starting time point is determined.

In conjunction with the first aspect, the embodiment of the present application provides a fourth possible implementation manner of the first aspect, wherein the determination of the Maximum resource increment information in the first sub-period, including:

Determine the resource increment information corresponding to each time point based on the first pending orders corresponding to each time point in the first sub-time period;

From the resource increment information corresponding to each time point, the maximum resource increment information in the first sub-time period is selected.

With reference to the fourth possible implementation manner of the first aspect, the embodiment of the present application provides the fifth possible implementation manner of the first aspect, wherein the respective time points in the first sub-time period correspond to , determine the resource increment information corresponding to each time point, including:

For any time point in the first sub-time period, obtain the first pending order from the time point to the starting time point, and divide the first pending order at this time point Matching processing to obtain the first resource increment information corresponding to the time point;

For any first target time point from the time point to the start time point, obtain the second pending order from the first target time point to the previous time point, and pair the order at the first target time point with The second to-be-processed order is divided and matched to obtain the second resource increment information corresponding to the first target time point; wherein, the first target time point includes the time point;

Based on the first resource increment information corresponding to the time point and the second resource increment information corresponding to each first target time point, the resource increment information corresponding to the time point is determined.

In conjunction with the first aspect, the embodiment of the present application provides a sixth possible implementation manner of the first aspect, wherein the determination of the Resource increment information at a point in time, including:

Obtain the pending orders sent by the service requester from this time point to the starting time point, and perform order split matching processing on the pending orders at this time point, and obtain the third resource increment information corresponding to this time point ;

For any second target time point from this time point to the starting time point, obtain the third pending order from the second target time point to the previous time point, and at the second target time point The third to-be-processed order is divided and matched to obtain fourth resource increment information corresponding to the second target time point; wherein, the second target time point includes the time point;

Based on the third resource increment information corresponding to the time point and the fourth resource increment information corresponding to each second target time point, the resource increment information corresponding to the time point is determined.

With reference to the sixth possible implementation manner of the first aspect, the embodiment of the present application provides the seventh possible implementation manner of the first aspect, wherein the order to be processed is said to perform order split matching processing at this time point , to obtain the third resource increment information corresponding to the time point, including:

Select the service provider that matches the order to be processed at this point in time;

Based on the resource supply information corresponding to the service requester that sent the pending order and the resource consumption information corresponding to the service provider, the third resource increment information for order distribution at this time point is determined.

With reference to the seventh possible implementation manner of the first aspect, the embodiment of the present application provides the eighth possible implementation manner of the first aspect, wherein the service matching the order to be processed is selected at this time point provider, including:

At this point in time, select an idle service provider that matches the pending order;

or,

At this point in time, a service provider in a service state that matches the pending order is selected.

With reference to the sixth possible implementation manner of the first aspect, the embodiment of the present application provides the ninth possible implementation manner of the first aspect, wherein the third resource increment information corresponding to the time point and The fourth resource increment information corresponding to each second target time point respectively, and the resource increment information corresponding to the time point is determined, including:

determining the sum value of the fourth resource increment information corresponding to each second target time point respectively;

The difference between the third resource increment information corresponding to the time point and the determined sum value is determined as the resource increment information corresponding to the time point.

In a second aspect, an embodiment of the present application further provides an order processing device, including:

a first determination module, configured to determine the maximum resource increment information in the first sub-time period based on the pending order sent by the service requester in the first sub-time period of the current time period; wherein, the first sub-time period The time period is the time period from the starting time point in the current time period to the critical time point matching the starting time point, and the first sub-time period is configured to stop order splitting;

The second determination module is configured to, for any time point in the second sub-time period of the current time period, determine the order of the time point based on the pending order sent by the service requester from the time point to the starting time point. Resource increment information; wherein, the second sub time period is the time period from the time point after the critical time point to the time point before the end time point in the current time period;

a monitoring module, configured to monitor the time points of order distribution in the second sub-time period according to the maximum resource increment information and the resource increment information at each time point in the second sub-time period;

The first order split matching module is configured to perform split order matching processing on the corresponding pending order at the order split time point when monitoring the split order time point within the second sub-time period;

The first sending module is used for sending the obtained order distribution matching result to the corresponding service requester.

In conjunction with the second aspect, the embodiments of the present application provide a first possible implementation manner of the second aspect, wherein the device further includes:

The circulation module is used to select the monitored time point of order splitting as a new start time point, and notify the first determination module of the new start time point, so that the first determination module, the The second determining module and the monitoring module operate until the monitoring result at the last time point in the second sub-period is obtained.

In conjunction with the second aspect, the embodiment of the present application provides a second possible implementation manner of the second aspect, wherein the end time point is configured as the order splitting time point; the device further includes:

an acquisition module, used to acquire the pending orders within the previous order split time point from the end time point to the end time point;

The second order split matching module is used to perform split order matching processing on the obtained order to be processed at the end time point;

The second sending module is used for sending the obtained order split matching result to the corresponding service requester.

In conjunction with the second aspect or the first possible implementation manner of the second aspect, the embodiment of the present application provides a third possible implementation manner of the second aspect, wherein the apparatus further includes:

A third determination module, configured to determine the time length corresponding to the critical time point matching the start time point based on the end time point in the current time period, the start time point and the preset threshold;

The fourth determining module is configured to determine a critical time point matching the starting time point based on the starting time point and the time length.

In conjunction with the second aspect, the embodiment of the present application provides a fourth possible implementation manner of the second aspect, wherein the first determining module is specifically used for:

Determine the resource increment information corresponding to each time point based on the first pending orders corresponding to each time point in the first sub-time period;

From the resource increment information corresponding to each time point, the maximum resource increment information in the first sub-time period is selected.

In conjunction with the fourth possible implementation manner of the second aspect, the embodiment of the present application provides a fifth possible implementation manner of the second aspect, wherein the first determination module is specifically used for:

For any time point in the first sub-time period, obtain the first pending order from the time point to the starting time point, and divide the first pending order at this time point Matching processing to obtain the first resource increment information corresponding to the time point;

For any first target time point from the time point to the start time point, obtain the second pending order from the first target time point to the previous time point, and pair the order at the first target time point with The second to-be-processed order is divided and matched to obtain the second resource increment information corresponding to the first target time point; wherein, the first target time point includes the time point;

Based on the first resource increment information corresponding to the time point and the second resource increment information corresponding to each first target time point, the resource increment information corresponding to the time point is determined.

In conjunction with the second aspect, the embodiment of the present application provides a sixth possible implementation manner of the second aspect, wherein the second determining module is specifically used for:

Obtain the pending orders sent by the service requester from this time point to the starting time point, and perform order split matching processing on the pending orders at this time point, and obtain the third resource increment information corresponding to this time point ;

For any second target time point from this time point to the starting time point, obtain the third pending order from the second target time point to the previous time point, and at the second target time point The third to-be-processed order is divided and matched to obtain fourth resource increment information corresponding to the second target time point; wherein, the second target time point includes the time point;

Based on the third resource increment information corresponding to the time point and the fourth resource increment information corresponding to each second target time point, the resource increment information corresponding to the time point is determined.

In conjunction with the sixth possible implementation manner of the second aspect, the embodiment of the present application provides the seventh possible implementation manner of the second aspect, wherein the second determining module is specifically used for:

Select the service provider that matches the order to be processed at this point in time;

Based on the resource supply information corresponding to the service requester that sent the pending order and the resource consumption information corresponding to the service provider, the third resource increment information for order distribution at this time point is determined.

In conjunction with the seventh possible implementation manner of the second aspect, the embodiment of the present application provides the eighth possible implementation manner of the second aspect, wherein the second determining module is specifically used for:

At this point in time, select an idle service provider that matches the pending order;

or,

At this point in time, a service provider in a service state that matches the pending order is selected.

In conjunction with the sixth possible implementation manner of the second aspect, the embodiment of the present application provides the ninth possible implementation manner of the second aspect, wherein the second determining module is specifically used for:

determining the sum value of the fourth resource increment information corresponding to each second target time point respectively;

The difference between the third resource increment information corresponding to the time point and the determined sum value is determined as the resource increment information corresponding to the time point.

In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a storage medium, and a bus, where the storage medium stores machine-readable instructions executable by the processor, and when the electronic device runs, The processor communicates with the storage medium through a bus, and the processor executes the machine-readable instructions to execute the steps of the order processing method according to any one of the first aspects.

In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and the computer program is executed by a processor when it is executed as described in any one of the first aspect. Describe the steps of the order processing method.

An order processing method, device, electronic device, and storage medium provided by the embodiments of the present application determine, based on pending orders in a first sub-time period of the current time period, the maximum resource increment in the first sub-time period information, and decide that the first sub-time period is not divided into orders; the above-mentioned first sub-time period is the critical time point from the start time point to the matching start time point; for each time point in the second sub-time period, the second sub-time period The sub time period is the time period from the time point after the critical time point to the time point before the end time point in the current time period, based on the resource increment information at each time point and the maximum value in the first sub time period. Resource increment information, monitor the time point of order distribution in the second sub-time period, and when the time point of order distribution is monitored, the order will be distributed at the time point of order distribution. In this way, more matching pending orders can be processed separately, which improves the order distribution efficiency of the platform.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present application more clearly, the following drawings will briefly introduce the drawings that need to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore do not It should be regarded as a limitation of the scope, and for those of ordinary skill in the art, other related drawings can also be obtained according to these drawings without any creative effort.

FIG. 1 shows a schematic diagram of the architecture of a service system provided by an embodiment of the present application;

FIG. 2 shows a flowchart of an order processing method provided by an embodiment of the present application;

FIG. 3 shows a flowchart of another order processing method provided by an embodiment of the present application;

FIG. 4 shows a flowchart of another order processing method provided by an embodiment of the present application;

FIG. 5 shows a flowchart of another order processing method provided by an embodiment of the present application;

FIG. 6 shows a flowchart of another order processing method provided by an embodiment of the present application;

FIG. 7 shows a flowchart of another order processing method provided by an embodiment of the present application;

FIG. 8 shows a schematic structural diagram of an order processing apparatus provided by an embodiment of the present application;

FIG. 9 shows a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. The drawings are only for the purpose of illustration and description, and are not used to limit the protection scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented in accordance with some embodiments of the application. It should be understood that the operations of the flowcharts may be performed out of order and that steps without logical context may be performed in reverse order or concurrently. In addition, those skilled in the art can add one or more other operations to the flowchart, and can also remove one or more operations from the flowchart under the guidance of the content of the present application.

In addition, the described embodiments are only some of the embodiments of the present application, but not all of the embodiments. The components of the embodiments of the present application generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations. Thus, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the application as claimed, but is merely representative of selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

In order to enable those skilled in the art to use the contents of the present application, the following embodiments are given in combination with the specific application scenario "carpooling order processing". For those skilled in the art, the general principles defined herein may be applied to other embodiments and application scenarios without departing from the spirit and scope of the present application. While this application is primarily described in terms of ride-sharing order processing, it should be understood that this is only one example embodiment.

It should be noted that the term "comprising" will be used in the embodiments of the present application to indicate the existence of the features declared later, but does not exclude the addition of other features.

The terms "user", "passenger", "requester", "service person", "service requester", "service requester", "service requester terminal", "passenger terminal", "service requester" in the embodiments of this application "Client" and "Client" are used interchangeably to refer to a person, entity, or instrument that can request or order services. The terms "driver", "service provider", "service provider", "driver terminal" and "driver terminal" in this application are used interchangeably to refer to a person, entity or tool that can provide a service.

FIG. 1 is a block diagram of a service system 100 according to some embodiments of the present application. For example, the service system 100 may be an online transportation service platform for transportation services such as taxis, ride-hailing services, express cars, carpooling, bus services, driver rentals, or shuttle services, or any combination thereof. The service system 100 may include one or more of a server 110 , a network 120 , a service requester 130 , a service provider 140 and a database 150 .

In some embodiments, server 110 may be a single server or a group of servers. Server groups may be centralized or distributed (eg, server 110 may be a distributed system). In some embodiments, the server 110 may be local or remote relative to the terminal. For example, server 110 may access information and/or data stored in service requester 130, service provider 140, or database 150, or any combination thereof, via network 120. As another example, the server 110 may be directly connected to at least one of the service requester 130, the service provider 140, and the database 150 to access stored information and/or data. In some embodiments, server 110 may be implemented on a cloud platform; by way of example only, cloud platforms may include private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, inter-cloud , multi-cloud, etc., or any combination of them.

In some embodiments, server 110 may include a processor. The processor may process information and/or data related to the service request to perform one or more functions described herein. For example, the processor may determine, based on the current location information in the service request sent from the service requesting terminal 130, each pick-up point in the target area to which the above-mentioned current location information belongs. In some embodiments, a processor may include one or more processing cores (eg, a single-core processor (S) or a multi-core processor (S)). By way of example only, the processor may include a central processing unit (CPU), an application specific integrated circuit (ASIC), an application specific instruction-set processor (ASIP), a graphics processing unit (Graphics Processing Unit, GPU), Physical Processing Unit (Physics Processing Unit, PPU), Digital Signal Processor (Digital Signal Processor, DSP), Field Programmable Gate Array (Field Programmable Gate Array, FPGA), Programmable Logic Device (Programmable Logic Device) Logic Device, PLD), controller, microcontroller unit, Reduced Instruction Set Computing (RISC), or microprocessor, etc., or any combination thereof.

The network 120 may be used for the exchange of information and/or data. In some embodiments, one or more components in service system 100 (eg, server 110, service requester 130, service provider 140, and database 150) may send information and/or data to other components. For example, the server 110 may obtain the service request from the service requester 130 via the network 120 . In some embodiments, network 120 may be any type of wired or wireless network, or a combination thereof. By way of example only, the network 130 may include a wired network, a wireless network, a fiber optic network, a telecommunications network, an intranet, the Internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Networks, WLAN), Metropolitan Area Network (MAN), Wide Area Network (WAN), Public Switched Telephone Network (PSTN), Bluetooth network, ZigBee network, or Near Field Communication (Near Field Communication) Field Communication, NFC) network, etc., or any combination thereof. In some embodiments, network 120 may include one or more network access points. For example, network 120 may include wired or wireless network access points, such as base stations and/or network switching nodes, through which one or more components of service system 100 may connect to network 120 to exchange data and/or information.

In some embodiments, the service requester 130 may comprise a mobile device, a tablet computer, a laptop computer, a built-in device in a motor vehicle, or the like, or any combination thereof. In some embodiments, the mobile device may include a wearable device, a smart mobile device, a virtual reality device, or an augmented reality device, etc., or any combination thereof. In some embodiments, the service requester 130 may be a device with a positioning function.

Database 150 may store data and/or instructions. In some embodiments, database 150 may store data obtained from service requester 130 and/or service provider 140 . In some embodiments, database 150 may store data and/or instructions for example methods described in embodiments of the present application. In some embodiments, the database 150 may include mass storage, removable storage, volatile read-write memory, or read-only memory (ROM), etc., or any combination thereof. By way of example, mass storage may include magnetic disks, optical disks, solid state drives, etc.; removable storage may include flash drives, floppy disks, optical disks, memory cards, zip disks, magnetic tapes, etc.; volatile read-write memory may include random access memory ( Random Access Memory, RAM); RAM can include dynamic RAM (Dynamic Random Access Memory, DRAM), double data rate synchronous dynamic RAM (Double Date-Rate Synchronous RAM, DDR SDRAM); Static RAM (Static Random-Access Memory, SRAM) , thyristor RAM (Thyristor-Based Random Access Memory, T-RAM) and zero capacitor RAM (Zero-RAM) and so on. As an example, the ROM may include Mask ROM (Mask Read-Only Memory, MROM), Programmable ROM (Programmable Read-Only Memory, PROM), Programmable Erasable Read-only Memory (PEROM), Electrically Programmable ROM (Programmable Erasable Read-only Memory, PEROM), Erasing programmable ROM (Electrically Erasable Programmable read only memory, EEPROM), compact disk ROM (CD-ROM), and digital universal disk ROM, etc. In some embodiments, database 150 may be implemented on a cloud platform. By way of example only, cloud platforms may include private clouds, public clouds, hybrid clouds, community clouds, distributed clouds, cross-cloud, multi-cloud, or the like, or any combination thereof.

In some embodiments, database 150 may be connected to network 120 to communicate with one or more components in service system 100 (eg, server 110, service requester 130, service provider 140, etc.). One or more components in service system 100 may access data or instructions stored in database 150 via network 120 . In some embodiments, database 150 may be directly connected to one or more components in service system 100 , or database 150 may be part of server 110 .

Based on the above service system 100, an embodiment of the present application provides an order processing method, and the order processing method can be applied to the server 110. As shown in FIG. 2, the method includes the following steps:

S201. Determine the maximum resource increment information in the first sub-time period based on the pending order sent by the service requester in the first sub-time period of the current time period; wherein the first sub-time period is the current time The time period from the start time point in the segment to the critical time point matching the start time point, and the first sub-time period is configured to stop order splitting.

In the embodiment of the present application, the server stores a preset order distribution time period; for example, the preset order distribution time period is from 0:00 to 24:00 every day. As an implementation manner, the above-mentioned current time period is the above-mentioned preset order-splitting time period. As another implementation, the server divides the preset order distribution time period into multiple time periods in advance, and the above-mentioned current time period is any one of the preset order distribution time periods; The preset order splitting time period is divided into multiple time periods; for example, the server divides 0:00 to 24:00 into 86400 time periods according to the time length of 60s.

In this embodiment of the present application, the current time period includes a start time point and a critical time point matching the start time point. The time period from the starting time point to the critical time point matching the starting time point is determined as the first sub-time period in the current time period. The first sub-time period is pre-configured to stop order splitting, and the stop order splitting here means that the matching result of the split order will not be sent to the corresponding service requester.

As an embodiment, the current time period is 0s-60s, 0s is the starting time point, and the critical time point for matching 0s is 22s. Correspondingly, 0-22s is the first sub-time period. For the pending orders from the service requester within 0-22s, the server does not process these pending orders separately, but determines based on the pending orders within 0-22s. Maximum resource increment information within 0-22s, so as to monitor the time point of order distribution within the second sub-time period (ie, 23s-59s) based on the maximum resource increment information.

S202, for any time point in the second sub-time period of the current time period, based on the pending order sent by the service requester from the time point to the starting time point, determine the resource increment information at the time point; The second sub-time period is a time period from a time point after the critical time point to a time point before the end time point in the current time period.

As an embodiment, the current time period is 0s-60s, 0 is the starting time point (also the initial time point for order distribution), 60s is the ending time point in the current time period, and correspondingly, 23s-59s is the second sub-time segment, the second sub-time segment includes multiple time points such as 23s, 24s, 25s...59s; for any time point (such as 23s) in 23s, 24s, 25s...59s, the server obtains the waiting time within 0 to 23s. Process the order, and determine the resource increment information corresponding to the order split in 23s based on the obtained pending order.

If 23s is not the time point of order splitting, for 24s, the server obtains the pending orders within 0 to 24s, and determines the resource increment information corresponding to the order splitting in 24s based on the obtained pending orders. Based on the same principle, the server can determine the resource increment information corresponding to any time point between 25s and 59s.

S203. Monitor the time points for order distribution in the second sub-time period according to the maximum resource increment information and the resource increment information at each time point in the second sub-time period.

As an embodiment, for 23s, after determining the resource increment information corresponding to the 23s order, the server compares the resource increment information with the maximum resource increment information corresponding to 0 to 22s, if the resource increment information If the value is greater than the above maximum resource increment information, 23s is determined as the time point for order splitting; if the resource increment information is less than or equal to the above maximum resource increment information, 23s is determined as the non-billing time point. Based on the same principle, the server can determine whether any time point from 24s to 59s is a time point for order splitting.

S204. When monitoring the time point of order splitting within the second sub-time period, perform split order matching processing on the corresponding to-be-processed order at the order split time point, and send the obtained order split matching result to the corresponding service requester.

In the embodiment of the present application, if the server monitors that 23s is the time point of order splitting, it performs splitting matching processing on the pending orders within 0-23s in 23s, and sends the matching result of splitting orders to the corresponding service requester. Wherein, the server performs order split matching processing on the corresponding pending orders at the time point of order splitting, and sends the obtained order split matching result to the corresponding service requester, that is, the process of performing split order processing at the time point of order splitting.

Wherein, the above-mentioned order splitting matching method is as follows: the server packs and matches the above-mentioned pending orders, that is, selects the service provider that matches the above-mentioned pending order, and sends the relevant information of the selected service provider to the successfully matched pending order. The service requester corresponding to the order.

An order processing method provided by an embodiment of the present application determines, based on pending orders in a first sub-time period of the current time period, maximum resource increment information in the first sub-time period, and decides the first sub-time period The first sub-time period is the critical time point from the start time point to the matching start time point; for each time point in the second sub-time period, the second sub-time period is the critical time point The time period from the time point after the point to the time point before the end time point in the current time period, based on the resource increment information at each time point and the maximum resource increment information in the first sub-time period, monitor the second time period. The order splitting time point in the sub-time period, and when the order splitting time point is monitored, the order splitting time point is performed at the order splitting time point. In this way, more matching pending orders can be processed separately, which improves the order distribution efficiency of the platform.

Further, in the order processing method provided by the embodiment of the present application, when monitoring the time point of order splitting within the second sub-time period, the method further includes:

Select the monitored order distribution time point as the new starting time point, return to execute the pending order sent by the service requester in the first sub-time based on the current time period, and determine the order within the first sub-time. The step of maximum resource increment information until the monitoring result of the last time point in the second sub-time period is obtained.

As an embodiment, the server monitors that 23s is the time point for order splitting, and then performs order splitting processing at 23s; at this time, the server selects 23s as the new starting time point, and determines that the critical time point matching 23s is 36s, and the corresponding Yes, 23s-36s is the new first sub-time period, 37s-59s is the new second sub-time period, 23s-36s is configured to stop order distribution; for pending orders from the service requester within 23s-36s, the server These pending orders are not processed separately, but based on the pending orders within 23s to 36s, the maximum resource increment information within 23s to 36s is determined, so as to monitor the order split within 37s to 59s based on the maximum resource increment information point in time.

The second sub-time period includes multiple time points such as 37s, 38s, 39s...59s; for any time point (such as 37s) in 37s, 38s, 39s...59s, the server obtains pending orders within 23s to 37s , and based on the obtained pending orders, determine the resource increment information corresponding to the order split in 37s.

After determining the resource increment information corresponding to the 37s split order, the server compares the resource increment information with the maximum resource increment information corresponding to 23s to 36s. If the resource increment information is greater than the above maximum resource increment information, then Determine 37s as the time point for order distribution; if the resource increment information is less than or equal to the above-mentioned maximum resource increment information, determine 37s as the time point for non-bill distribution.

If 37s is not the time point of order splitting, for 38s, the server obtains pending orders within 23s to 38s, and based on the obtained pending orders, determines the resource increment information corresponding to the order split at 38s, and stores the resource increment information. Compare with the maximum resource increment information corresponding to 23s to 36s. If the resource increment information is greater than the above-mentioned maximum resource increment information, determine 38s as the time point of the order split; if the resource increment information is less than or equal to the above-mentioned maximum resource increment information, then it is determined that 38s is a non-single time point.

Based on the same principles as 37s and 38s, the server can determine the resource increment information corresponding to any time point in 39s to 59s, and monitor whether any time point in 39s to 59s is a time point for order splitting based on the determined resource increment information.

Further, as shown in FIG. 3 , in the order processing method provided in the embodiment of the present application, for any starting time point, the critical time point matching the starting time point is determined by the following method:

S301. Based on the end time point in the current time period, the start time point, and a preset threshold, determine the time length corresponding to the critical time point that matches the start time point.

As an embodiment, the server calculates the time length corresponding to the critical time point matching the starting time point according to the following formula:

The time length corresponding to the critical time point matching the starting time point=(the ending time point in the current time period−the starting time point)×the preset threshold.

As an implementation manner, the server configures the above-mentioned preset threshold based on the rule of 37, and correspondingly, the above-mentioned threshold is 0.37.

For example, the start time point is 0, the end time point in the current time period is 60s, and the above time length=(60s-0)×0.37=22.2s.

For another example, the start time point is 23s, the end time point in the current time period is 60s, and the above time length=(60s-23s)×0.37=13.69s.

S302. Based on the starting time point and the time length, determine a critical time point matching the starting time point.

In this embodiment of the present application, when the time length corresponding to the critical time point matching the starting time point has a decimal point, the time length with the decimal point is rounded up. The rounding processing here includes: discarding decimals, or carrying decimals.

For example, the time length of 22.2s is rounded, and it can be 22 or 23; 13.69s is rounded, and it can be 13 or 14. In the embodiment of the present application, 22.2s is rounded to be 22, and 13.69s is rounded to 13 as an example for description.

As an embodiment, the starting time point is 0, the time length is 22, and the critical time point determined to match the starting time point is 0+22s=22s.

As an embodiment, the start time point is 23s, the time length is 13s, and the critical time point determined to match the start time point is 23s+13s=36s.

Further, as shown in FIG. 4 , in the order processing method provided by the embodiment of the present application, the end time point is configured as the order distribution time point; after the obtained order distribution matching result is sent to the corresponding service requester , the method also includes:

S401. Obtain orders to be processed within the time point of the end time point to the previous order split time point of the end time point.

S402. Perform a split order matching process on the acquired order to be processed at the end time point, and send the obtained order split matching result to a corresponding service requester.

Combining steps 401 to 402, in this embodiment of the present application, the server presets the end time point (ie, 60s) within the current time period as the time point for order splitting. After the server completes monitoring at each time point from 0 to 59 s, if the current time reaches 60 s, the server performs order split processing.

The specific order distribution process is as follows: the server determines the previous order distribution time point at the current moment (for example, 58s), the server obtains the pending orders within 58s to 60s, performs order matching processing on these pending orders, and compares the obtained points The single matching result is sent to the corresponding service requester.

Further, as shown in FIG. 5 , in the order processing method provided by the embodiment of the present application, the order is determined based on the pending order sent by the service requester in the first sub-time period of the current time period. maximum resource increment information, including:

S501. Determine resource increment information corresponding to each time point based on the first pending orders corresponding to each time point in the first sub-time period.

In this embodiment of the present application, for any time point within the first sub-time period, the first pending order corresponding to the time point is: all pending orders from the time point to the start time point of the first sub-time period Order. Based on the matching result of order splitting for the corresponding first pending order at this time point, and the order splitting is performed at each first target time point in the time period from the starting time point in the first sub-time period to the time point corresponding to the time point The matching order splitting processing result determines the resource increment information corresponding to the time point.

S502. From the resource increment information corresponding to each time point, select the maximum resource increment information in the first sub-time period.

In this embodiment of the present application, the server compares the resource increment information corresponding to each time point in the first sub-time period, and selects the largest resource in the first sub-time period from the resource increment information according to the comparison result. Incremental information.

Further, as shown in FIG. 6 , in the order processing method provided by the embodiment of the present application, it is determined that each time point corresponds to the first order to be processed based on the first order to be processed corresponding to each time point in the first sub-time period. resource increment information, including:

S601. For any time point in the first sub-time period, acquire the first pending order from the time point to the starting time point, and perform the first pending order at this time point. The single-order matching process is performed to obtain the first resource increment information corresponding to the time point.

As an embodiment, the above-mentioned order splitting matching processing includes: selecting a service provider that matches the first order to be processed at this point in time; based on the resource supply information and The resource consumption information corresponding to the above-mentioned service provider determines the first resource increment information to be ordered at this time point.

For example, the first sub-time period is 0 to 22 s, and the starting time point is 0. For the second time point 2 s of the first sub-time period 0 to 22 s, the first pending order (including pending orders) within 0 s to 2 s is obtained. Process order 1, pending order 2 and pending order 3); at the time point of 1s, select the service provider 1 that matches the pending order 1 and pending order 2, and select the service provider that matches the pending order 3 Then, the server determines the resource supply information corresponding to the service requester 1 that sends the pending order 1, the service requester 2 that sends the pending order 2, and the service requester 3 that sends the pending order 3 (resource supply here). The information can be the first sum value of the above-mentioned service requester's payable fee); the server determines the resource consumption information corresponding to the service provider 1 and the service provider 2 respectively (the resource consumption information here can be the above-mentioned service provider's payable fee) of The second sum value; the server determines the difference between the first sum value and the second sum value as the first resource increment information when the order is divided in 2s.

Based on the same principle, the server can determine the first resource increment information when the order is distributed at any point in time from 3s to 22s.

S602. For any first target time point from the time point to the start time point, obtain the second pending order from the first target time point to the previous time point, and at the first target time point The second to-be-processed order is divided and matched to obtain the second resource increment information corresponding to the first target time point; wherein, the first target time point includes the time point.

As an embodiment, two first target time points 1s and 2s are included between the start time point (0s) and the time point (ie 2s). For the first first target time point 1s, acquire the second pending orders (including pending order 1) within 0s to 1s, and perform order split matching processing on the acquired pending order 1 at 1s. The specific order split matching process includes: selecting the service provider 1 that matches the pending order 1, and determining the resource supply information corresponding to the service requester 1 that sends the pending order 1 (the resource supply information here can be the service requester 1) and the resource consumption information corresponding to the service provider 1 (the resource consumption information here can be the payable fee of the service provider 1), and determine the difference between the resource supply information and the resource consumption information as the first The second resource increment information when the order is divided at the target time point 1s.

In the same way, for the first target time point 2s, obtain the second pending order (including pending order 3) within 1s to 2s, and perform order matching processing on the obtained pending order 3 in 2s, and obtain the score at 2s. Single-hour second resource increment information.

Similarly, the server can also obtain the second resource increment information corresponding to the order split matching at any first target time point in 3s to 22s.

S603. Determine resource increment information corresponding to the time point based on the first resource increment information corresponding to the time point and the second resource increment information corresponding to each first target time point.

As an implementation manner, the server determines the sum value of the second resource increment information corresponding to each first target time point; the difference between the first resource increment information corresponding to the time point and the determined sum value The value is determined as the resource increment information corresponding to this time point.

For example, the server calculates the sum of the second resource increment information when the order is distributed in 1s and the second resource increment information when the order is distributed in 2s, and then calculates the difference between the first resource increment information in the 2s order and the above sum. The value is used as the resource increment information when the order is distributed in 2s.

Further, as shown in FIG. 7 , in the order processing method provided by the embodiment of the present application, the resource increase at this time point is determined based on the pending order sent by the service requester from the time point to the starting time point. volume information, including:

S701. Acquire the pending order sent by the service requester from the time point to the starting time point, and perform order split matching processing on the pending order at this time point, and obtain the third resource increase corresponding to the time point. quantity information.

As an embodiment, 23s-59s is the second sub-time period, there is no order distribution before 23s, 0 is the initial time point of order distribution, and for the first time point (23s) in the second sub-time period, the server obtains 0 ~23s pending orders, and in 23s, the obtained pending orders will be matched by order splitting.

The specific order matching method is as follows: at this point in time (ie 23s), select the service provider that matches the pending order; based on the resource supply information corresponding to the service requester sending the pending order and the service provider matching the pending order For the corresponding resource consumption information, determine the third resource increment information to be ordered at this time point (ie, 23s).

Similarly, the server can determine the third resource increment information when the order is distributed at any point in time from 24s to 59s.

S702. For any second target time point from the time point to the start time point, obtain the third pending order from the second target time point to the previous time point, and at the second target time point The third to-be-processed order is divided and matched to obtain the fourth resource increment information corresponding to the second target time point; wherein, the second target time point includes the time point.

As an embodiment, 23 second target time points 1s, 2s... 23s are included between the time point (23s) and the last time point (ie, 0) of the order distribution. For the first second target time point 1s, obtain the third pending order within 0 to 1s, perform order split matching processing on the acquired third pending order at 1s, and determine 1s based on the result of the split order matching processing Corresponding fourth resource increment information.

The specific order split matching process includes: selecting the service provider that matches the third pending order at the time point of 1s; then, the server determines the resource supply information corresponding to the service requester that sends the pending order (the resource supply information here It can be the payable fee of the above-mentioned service requester) and the resource consumption information corresponding to the service provider (the resource consumption information here can be the payable fee of the above-mentioned service provider), and the difference between the resource supply information and the resource consumption information is determined as the The fourth resource increment information corresponding to 1s.

Similarly, the server sequentially determines the fourth resource increment information corresponding to the second second target time point (2s), the fourth resource increment information corresponding to the third second target time point (3s)... 20 Fourth resource increment information corresponding to the three second target time points (23s).

S703. Determine resource increment information corresponding to the time point based on the third resource increment information corresponding to the time point and the fourth resource increment information corresponding to each second target time point respectively.

As an implementation manner, the server calculates the difference between the third resource increment information when the order is distributed in 23s and the fourth resource increment information corresponding to 1s, and then calculates the difference between the difference and the fourth resource increment information corresponding to 2s. value, after calculating the difference between the difference and the fourth resource increment information corresponding to 3s...until the difference between the difference obtained last time and the fourth resource increment information corresponding to 23s is calculated as the resource increment corresponding to 23s information.

As another implementation manner, the server determines a sum value of the fourth resource increment information corresponding to each second target time point respectively; the third resource increment information corresponding to the time point and the determined sum value are obtained The difference is determined as the resource increment information corresponding to the time point.

For example, the server calculates the fourth resource increment information corresponding to 1s, the fourth resource increment information corresponding to 2s... 23s corresponds to the sum of the fourth resource increment information, and then calculates the third resource increment information corresponding to 23s and The difference between the above sum values is used as the resource increment information corresponding to the 23s.

Based on the same principle, the server can calculate the resource increment information corresponding to 24s, the resource increment information corresponding to 25s, and the resource increment information corresponding to 59s.

In the actual process of carpooling order processing, it includes the situation of in-line carpooling and the situation of non-in-line carpooling. Correspondingly, selecting a service provider that matches the order to be processed at this time point includes: selecting a service provider that matches the order to be processed and is idle at this time point. Status service provider.

Correspondingly, when taking into account the situation of splicing in the line, selecting a service provider that matches the order to be processed at this time point includes: selecting a service provider that matches the order to be processed at this time point and is in a service state. service provider.

An order processing method provided by an embodiment of the present application determines, based on pending orders in a first sub-time period of the current time period, the maximum resource increment information in the first sub-time period, and decides the first sub-time period The first sub-time period is the critical time point from the start time point to the matching start time point; for each time point in the second sub-time period, the second sub-time period is the critical time point From the time point after the point to the time point before the end time point in the current time period, based on the resource increment information at each time point and the maximum resource increment information in the first sub-time period, monitor the second time period. The time point of order splitting within the sub-time period, and when the time point of order splitting is monitored, the order splitting will be performed at the time point of order splitting. In this way, more matching pending orders can be processed separately, which improves the order distribution efficiency of the platform.

FIG. 8 is a block diagram illustrating an order processing apparatus according to some embodiments of the present application, and the functions implemented by the order processing apparatus correspond to the steps performed by the above method. The device can be understood as the above-mentioned server, or the processor of the server, and can also be understood as a component independent of the above-mentioned server or processor that implements the functions of the application under the control of the server. As shown in FIG. 8, the order processing device Can include:

The first determination module 801 is configured to determine the maximum resource increment information in the first sub-time period based on the pending order sent by the service requester in the first sub-time period of the current time period; wherein the first sub-time period The sub time period is the time period from the start time point in the current time period to the critical time point matching the start time point, and the first sub time period is configured to stop order splitting;

The second determination module 802 is configured to, for any time point in the second sub-time period of the current time period, determine the time point based on the pending order sent by the service requester from the time point to the starting time point resource increment information; wherein, the second sub-time period is the time period from the time point after the critical time point to the time point before the end time point in the current time period;

A monitoring module 803, configured to monitor the time points of order distribution in the second sub-time period according to the maximum resource increment information and the resource increment information at each time point in the second sub-time period;

The first order split matching module 804 is configured to perform split order matching processing on the corresponding pending order at the split order time point when monitoring the split order time point within the second sub-time period;

The first sending module 805 is configured to send the obtained order distribution matching result to the corresponding service requester.

Further, in the order processing device provided by the embodiment of the present application, the device further includes:

The circulation module is used to select the monitored time point of order splitting as a new start time point, and notify the first determination module 801 of the new start time point, so that the first determination module 801, the second determination module 802 and the monitoring module 803 run until the monitoring result at the last time point in the second sub-time period is obtained.

Further, in the order processing device provided in the embodiment of the present application, the end time point is configured as the order splitting time point; the device further includes:

an acquisition module, used to acquire the pending orders within the previous order split time point from the end time point to the end time point;

The second order split matching module is used to perform split order matching processing on the obtained order to be processed at the end time point;

The second sending module is used for sending the obtained order split matching result to the corresponding service requester.

Further, in the order processing device provided by the embodiment of the present application, the device further includes:

A third determination module, configured to determine the time length corresponding to the critical time point matching the start time point based on the end time point in the current time period, the start time point and the preset threshold;

The fourth determining module is configured to determine a critical time point matching the starting time point based on the starting time point and the time length.

Further, in the order processing apparatus provided by the embodiment of the present application, the first determination module 801 is specifically used for:

Determine the resource increment information corresponding to each time point based on the first pending orders corresponding to each time point in the first sub-time period;

From the resource increment information corresponding to each time point, the maximum resource increment information in the first sub-time period is selected.

Further, in the order processing apparatus provided by the embodiment of the present application, the first determination module 801 is specifically used for:

For any time point in the first sub-time period, obtain the first pending order from the time point to the starting time point, and divide the first pending order at this time point Matching processing to obtain the first resource increment information corresponding to the time point;

For any first target time point from the time point to the start time point, obtain the second pending order from the first target time point to the previous time point, and pair the order at the first target time point with The second to-be-processed order is divided and matched to obtain the second resource increment information corresponding to the first target time point; wherein, the first target time point includes the time point;

Based on the first resource increment information corresponding to the time point and the second resource increment information corresponding to each first target time point, the resource increment information corresponding to the time point is determined.

Further, in the order processing apparatus provided by the embodiment of the present application, the second determination module 802 is specifically used for:

Obtain the pending orders sent by the service requester from this time point to the starting time point, and perform order split matching processing on the pending orders at this time point, and obtain the third resource increment information corresponding to this time point ;

For any second target time point from this time point to the starting time point, obtain the third pending order from the second target time point to the previous time point, and at the second target time point The third to-be-processed order is divided and matched to obtain fourth resource increment information corresponding to the second target time point; wherein, the second target time point includes the time point;

Based on the third resource increment information corresponding to the time point and the fourth resource increment information corresponding to each second target time point, the resource increment information corresponding to the time point is determined.

Further, in the order processing apparatus provided by the embodiment of the present application, the second determination module 802 is specifically used for:

Select the service provider that matches the order to be processed at this point in time;

Based on the resource supply information corresponding to the service requester that sent the pending order and the resource consumption information corresponding to the service provider, the third resource increment information for order distribution at this time point is determined.

Further, in the order processing apparatus provided by the embodiment of the present application, the second determination module 802 is specifically used for:

At this point in time, select an idle service provider that matches the pending order;

or,

At this point in time, a service provider in a service state that matches the pending order is selected.

Further, in the order processing apparatus provided by the embodiment of the present application, the second determination module 802 is specifically used for:

determining the sum value of the fourth resource increment information corresponding to each second target time point respectively;

The difference between the third resource increment information corresponding to the time point and the determined sum value is determined as the resource increment information corresponding to the time point.

An order processing apparatus provided by an embodiment of the present application determines, based on pending orders in a first sub-time period of a current time period, maximum resource increment information in the first sub-time period, and decides the first sub-time period The first sub-time period is the critical time point from the start time point to the matching start time point; for each time point in the second sub-time period, the second sub-time period is the critical time point From the time point after the point to the time point before the end time point in the current time period, based on the resource increment information at each time point and the maximum resource increment information in the first sub-time period, monitor the second time period. The time point of order splitting within the sub-time period, and when the time point of order splitting is monitored, the order splitting will be performed at the time point of order splitting. In this way, more matching pending orders can be processed separately, which improves the order distribution efficiency of the platform.

As shown in FIG. 9 , an electronic device 900 provided by an embodiment of the present application includes: a processor 901, a memory 902, and a bus, and the memory 902 stores machine-readable instructions executable by the processor 901. When the device is running, the processor 901 communicates with the memory 902 through a bus, and the processor 901 executes the machine-readable instructions to perform the steps of the above-mentioned order processing method.

Specifically, the above-mentioned memory 902 and processor 901 can be a general-purpose memory and processor, which is not specifically limited here. When the processor 901 runs the computer program stored in the memory 902, the above-mentioned order processing method can be executed.

Corresponding to the above order processing method, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and the computer program executes the above-mentioned order processing method when the computer program is run by a processor. step.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, for the specific working process of the system and device described above, reference may be made to the corresponding process in the method embodiment, which is not repeated in this application. In the several embodiments provided in this application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. The device embodiments described above are only illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some communication interfaces, indirect coupling or communication connection of devices or modules, which may be in electrical, mechanical or other forms.

The modules described as separate components may or may not be physically separated, and components shown as modules may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a processor-executable non-volatile computer-readable storage medium. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk and other mediums that can store program codes.

The above are only the specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the technical scope disclosed in the present application can easily think of changes or replacements, which should be covered within the scope of the present application. within the scope of protection of this application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (13)

1. An order processing method, characterized in that, comprising: Based on the pending orders sent by the service requester in the first sub-time period of the current time period, determine the maximum resource increment information in the first sub-time period; wherein, the first sub-time period is the current time period The time period from the starting time point to the critical time point matching the starting time point, and the first sub-time period is configured to stop order splitting; For any time point in the second sub-time period of the current time period, based on the pending order sent by the service requester from the time point to the starting time point, determine the resource increment information at the time point; wherein, The second sub-time period is the time period from the time point after the critical time point to the time point before the end time point in the current time period; According to the maximum resource increment information and the resource increment information at each time point in the second sub-time period, monitoring the time points of the order distribution in the second sub-time period; When monitoring the time point of order splitting within the second sub-time period, perform split order matching processing on the corresponding pending order at the order split time point, and send the obtained order split matching result to the corresponding service request end. 2. The order processing method according to claim 1, wherein when monitoring the time point of order splitting in the second sub-time period, the method further comprises: Select the monitored order distribution time point as the new starting time point, return to execute the pending order sent by the service requester in the first sub-time based on the current time period, and determine the order within the first sub-time. The step of maximum resource increment information until the monitoring result of the last time point in the second sub-time period is obtained. 3. The order processing method according to claim 1, wherein the end time point is configured as the time point of order distribution; after the obtained order distribution matching result is sent to the corresponding service requester, the The method also includes: Acquire the pending orders within the previous order split time point from the end time point to the end time point; At the end time point, the obtained order to be processed is subjected to order split matching processing, and the obtained order split matching result is sent to the corresponding service requester. 4. The order processing method according to claim 1 or 2, wherein, for any starting time point, a critical time point matching the starting time point is determined by the following method: Based on the end time point in the current time period, the start time point and the preset threshold, determine the time length corresponding to the critical time point matching the start time point; Based on the starting time point and the time length, a critical time point matching the starting time point is determined. 5. The order processing method according to claim 1, characterized in that, the maximum value in the first sub-period is determined based on the pending orders sent by the service requester in the first sub-period of the current period. Resource increment information, including: Determine the resource increment information corresponding to each time point based on the first pending orders corresponding to each time point in the first sub-time period; From the resource increment information corresponding to each time point, the maximum resource increment information in the first sub-time period is selected. 6 . The order processing method according to claim 5 , wherein the resource increase corresponding to each time point is determined based on the first pending orders corresponding to each time point in the first sub-time period respectively. 7 . volume information, including: For any time point in the first sub-time period, obtain the first pending order from the time point to the starting time point, and divide the first pending order at this time point Matching processing to obtain the first resource increment information corresponding to the time point; For any first target time point from the time point to the start time point, obtain the second pending order from the first target time point to the previous time point, and pair the order at the first target time point with The second to-be-processed order is divided and matched to obtain the second resource increment information corresponding to the first target time point; wherein, the first target time point includes the time point; Based on the first resource increment information corresponding to the time point and the second resource increment information corresponding to each first target time point, the resource increment information corresponding to the time point is determined. 7. The order processing method according to claim 1, wherein the resource increment information at the time point is determined based on the pending order sent by the service requester from the time point to the starting time point, include: Obtain the pending orders sent by the service requester from this time point to the starting time point, and perform order split matching processing on the pending orders at this time point, and obtain the third resource increment information corresponding to this time point ; For any second target time point from this time point to the starting time point, obtain the third pending order from the second target time point to the previous time point, and at the second target time point The third to-be-processed order is divided and matched to obtain fourth resource increment information corresponding to the second target time point; wherein, the second target time point includes the time point; Based on the third resource increment information corresponding to the time point and the fourth resource increment information corresponding to each second target time point, the resource increment information corresponding to the time point is determined. 8. The order processing method according to claim 7, characterized in that, at this time point, the order to be processed is subjected to order split matching processing, and the third resource increment information corresponding to this time point is obtained, comprising: Select the service provider that matches the order to be processed at this point in time; Based on the resource supply information corresponding to the service requester that sent the pending order and the resource consumption information corresponding to the service provider, the third resource increment information for order distribution at this time point is determined. 9. The order processing method according to claim 8, wherein the selecting a service provider matching the order to be processed at this time point comprises: At this point in time, select an idle service provider that matches the pending order; or, At this point in time, a service provider in a service state that matches the pending order is selected. 10. The order processing method according to claim 7, wherein, based on the third resource increment information corresponding to the time point and the fourth resource increment information corresponding to each second target time point, Determine the resource increment information corresponding to the time point, including: determining the sum value of the fourth resource increment information corresponding to each second target time point respectively; The difference between the third resource increment information corresponding to the time point and the determined sum value is determined as the resource increment information corresponding to the time point. 11. An order processing device, comprising: a first determination module, configured to determine the maximum resource increment information in the first sub-time period based on the pending order sent by the service requester in the first sub-time period of the current time period; wherein, the first sub-time period The time period is the time period from the starting time point in the current time period to the critical time point matching the starting time point, and the first sub-time period is configured to stop order splitting; The second determination module is configured to, for any time point in the second sub-time period of the current time period, determine the order of the time point based on the pending order sent by the service requester from the time point to the starting time point. Resource increment information; wherein, the second sub time period is the time period from the time point after the critical time point to the time point before the end time point in the current time period; a monitoring module, configured to monitor the time points of order distribution in the second sub-time period according to the maximum resource increment information and the resource increment information at each time point in the second sub-time period; The first order split matching module is configured to perform split order matching processing on the corresponding pending order at the order split time point when monitoring the split order time point within the second sub-time period; The first sending module is used for sending the obtained order distribution matching result to the corresponding service requester. 12. An electronic device, comprising: a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor is connected to a bus. The storage media communicate through a bus, and the processor executes the machine-readable instructions to execute the steps of the order processing method according to any one of claims 1 to 10. 13. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is run by a processor, the order processing according to any one of claims 1 to 10 is executed. steps of the method.

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